{"id":"W1984757398","doi":"10.1016/j.jglr.2013.12.001","title":"What controls distribution of larval and juvenile yellow perch? The role of habitat characteristics and spatial processes in a large, shallow lake","year":2014,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Natural Resources and Wildlife; Ministère des Forêts, de la Faune et des Parcs; Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Perch; Juvenile; Larva; Habitat; Spatial distribution; Fishery; Distribution (mathematics); Ecology; Environmental science; Biology; Fish <Actinopterygii>; Geography; Remote sensing; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003547898,0.0001323089,0.0004135169,0.0003153807,0.0004790707,0.0009143623,0.0003676907,0.0003919383,0.001267992],"category_scores_gemma":[0.001406638,0.0003130161,0.0002609757,0.0003890879,0.0009102547,0.0006577311,0.0007074437,0.000173313,0.0001164476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005382574,"about_ca_system_score_gemma":0.0006658092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02058877,"about_ca_topic_score_gemma":0.0572408,"domain_scores_codex":[0.9997682,0.00007663031,0.00001551003,0.00005482112,0.00001981064,0.00006506502],"domain_scores_gemma":[0.9988642,0.0003784258,0.0002441965,0.00005819425,0.0001052015,0.0003498401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004927627,0.00006719898,0.9796605,0.00003038605,0.0001352705,0.0002279826,0.0005766325,0.0005936225,0.01432283,0.0001738313,0.0001741273,0.003544812],"study_design_scores_gemma":[0.000004748953,0.00003263592,0.9986594,0.000001463352,0.00001565803,0.00002925172,0.0003655482,0.0006916029,0.00009712718,0.00006064752,0.00003819283,0.000003654584],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999764,0.00002470166,0.00005704158,0.00002376804,8.275758e-7,0.000001064798,0.00002221514,0.000001749495,0.0001046767],"genre_scores_gemma":[0.9998292,0.00001022994,0.00004729132,0.000009927708,0.000001203667,0.000001238569,0.00001724527,0.000002113505,0.00008163262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02058877,"threshold_uncertainty_score":0.0409379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429670773248171,"score_gpt":0.2728354176597694,"score_spread":0.2585387099272877,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}